vix.ing · top · new · best · stats · spec

Globerson, Amir

  1. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1374 citations
    #cs.CL #cs.AI
  2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Petko Georgiev, Gemini Team +2277 · 4 voices · 559 citations
    Computer Science · #Semantic Web and Ontologies
  3. Dissecting Recall of Factual Associations in Auto-Regressive Language Models
    2023/04/28 by Mor Geva, Geva, Mor, Jasmijn Bastings +5 · 2 voices · 60 citations
    Computer Science · Social Sciences · #Computational and Text Analysis Methods #Natural Language Processing Techniques #Topic Modeling #cs.CL
  4. In-Context Learning Creates Task Vectors
    2023/10/24 by Roee Hendel, Hendel, Roee, Mor Geva +3 · 3 voices · 45 citations
    Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Data Quality and Management #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Topic Modeling #cs.CL
  5. Graph Neural Networks Use Graphs When They Shouldn't
    2023/09/08 by Maya Bechler-Speicher, Bechler-Speicher, Maya, Ido Amos +5 · 2 voices · 7 citations
    #cs.LG #cs.AI
  6. LM vs LM: Detecting Factual Errors via Cross Examination
    2023/05/22 by Roi Cohen, May Hamri, Cohen, Roi +5 · 2 voices · 18 citations
    Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.CL
  7. Visual Prompting via Image Inpainting
    2022/09/01 by Bar, Amir, Gandelsman, Yossi, Darrell, Trevor +2 · 20 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  8. Evaluating the Ripple Effects of Knowledge Editing in Language Models
    2023/07/24 by Roi Cohen, Cohen, Roi, Eden Biran +7 · 21 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  9. Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
    2017/02/26 by Alon Brutzkus, Brutzkus, Alon, Amir Globerson +1 · 12 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  10. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Gemini Robotics Team, Gemini Team, Rohan Anil +2692 · 9 voices
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #cs.AI #cs.CL #cs.CV
  11. Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
    2024/06/18 by Biran, Eden, Gottesman, Daniela, Yang, Sohee +2 · 14 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  12. Explaining in Style: Training a GAN to explain a classifier in StyleSpace
    2021/04/27 by Oran Lang, Yossi Gandelsman, Lang, Oran +19 · 7 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #electronic engineering #information engineering
  13. Crawling the Internal Knowledge-Base of Language Models
    2023/01/30 by Roi Cohen, Cohen, Roi, Mor Geva +5 · 9 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
  14. DeciMamba: Exploring the Length Extrapolation Potential of Mamba
    2024/06/20 by Assaf Ben-Kish, Ben-Kish, Assaf, Itamar Zimerman +11 · 9 citations
    Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Urban and Rural Development Challenges
  15. Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs
    2023/05/10 by Herzig, Roei, Mendelson, Alon, Karlinsky, Leonid +4 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  16. On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
    2021/02/19 by Azulay, Shahar, Moroshko, Edward, Nacson, Mor Shpigel +4 · 3 citations
    #68T07 (Primary) #FOS: Computer and information sciences #G.1.6 #I.2.6 #Machine Learning (cs.LG)
  17. Finding Visual Task Vectors
    2024/04/08 by Alberto Hojel, Yutong Bai, Hojel, Alberto +7 · 5 citations
    Computer Science · #Human Pose and Action Recognition #Data Visualization and Analytics #Gaze Tracking and Assistive Technology
  18. The Interpretable and Effective Graph Neural Additive Networks
    2024/06/03 by Bechler-Speicher, Maya, Globerson, Amir, Gilad-Bachrach, Ran · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation
    2024/06/06 by Adam Fisch, Joshua Maynez, Fisch, Adam +9 · 5 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
  20. What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary
    2022/12/20 by Ori Ram, Liat Bezalel, Ram, Ori +9 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Topic Modeling
  21. Compositional Video Synthesis with Action Graphs
    2020/06/27 by Amir Bar, Roei Herzig, Bar, Amir +11 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Video Analysis and Summarization
  22. Learning Object Permanence from Video
    2020/03/23 by Aviv Shamsian, Ofri Kleinfeld, Shamsian, Aviv +5 · 2 citations
    Computer Science · #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
  23. DETReg: Unsupervised Pretraining with Region Priors for Object Detection
    2021/06/08 by Amir Bar, Xin Wang, Bar, Amir +15 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  24. Learning Canonical Representations for Scene Graph to Image Generation
    2019/12/16 by Herzig, Roei, Bar, Amir, Xu, Huijuan +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  25. Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models
    2024/07/28 by Nitzan Bitton-Guetta, Aviv Slobodkin, Bitton-Guetta, Nitzan +15 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  26. Object-Region Video Transformers
    2021/10/13 by Herzig, Roei, Ben-Avraham, Elad, Mangalam, Karttikeya +5 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  27. EgoPet: Egomotion and Interaction Data from an Animal's Perspective
    2024/04/15 by Bar, Amir, Bakhtiar, Arya, Tran, Danny +5 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO)
  28. Tightening LP Relaxations for MAP using Message Passing
    2012/06/13 by Sontag, David, Meltzer, Talya, Globerson, Amir +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computational Engineering #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Finance #and Science (cs.CE)
  29. What Cannot be Learned with Bethe Approximations
    2012/02/14 by Uri Heinemann, Amir Globerson, Heinemann, Uri +1 · 1 citation
    Computer Science · Mathematics · #Machine Learning and Algorithms #Bayesian Modeling and Causal Inference #Statistical Methods and Inference
  30. Towards an AI-Augmented Textbook
    2025/09/13 by LearnLM Team, Google, Alicia Martín +69 · 2 voices · 1 citation
    Computer Science · #Computers and Society (cs.CY) #Edcuational Technology Systems #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Intelligent Tutoring Systems and Adaptive Learning #Online Learning and Analytics #cs.CY #cs.HC
  31. Regularizing Towards Permutation Invariance in Recurrent Models
    2020/10/25 by Edo Cohen-Karlik, Cohen-Karlik, Edo, Avichai Ben David +3 · 1 citation
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computational Geometry and Mesh Generation #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  32. Few-Shot Question Answering by Pretraining Span Selection
    2021/01/02 by Ram, Ori, Kirstain, Yuval, Berant, Jonathan +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  33. Bayesian Prediction-Powered Inference
    2024/05/09 by Roswitha Hofer, Joshua Maynez, Hofer, R. Alex +9 · 2 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Machine Learning and Data Classification
  34. When Can Transformers Count to n?
    2024/07/21 by Gilad Yehudai, Haim Kaplan, Yehudai, Gilad +9 · 2 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  35. BERTese: Learning to Speak to BERT
    2021/03/09 by Haviv, Adi, Berant, Jonathan, Globerson, Amir · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  36. Learning to Retrieve Passages without Supervision
    2021/12/14 by Ram, Ori, Shachaf, Gal, Levy, Omer +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  37. On the Implicit Bias of Gradient Descent for Temporal Extrapolation
    2022/02/09 by Edo Cohen-Karlik, Avichai Ben David, Cohen-Karlik, Edo +5 · 1 citation
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
  38. Provable Benefits of Complex Parameterizations for Structured State Space Models
    2024/10/17 by Yuval Ran-Milo, Ran-Milo, Yuval, Eden Lumbroso +9 · 2 citations
    Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Simulation Techniques and Applications
  39. PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data
    2022/12/08 by Roei Herzig, Herzig, Roei, Ofir Abramovich +13 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  40. Do LLMs have Consistent Values?
    2024/07/16 by Naama Rozen, Rozen, Naama, Gal Elidan +6 · 1 citation
    Business, Management and Accounting · #Cooperative Studies and Economics
  41. Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
    2024/02/12 by Noam Razin, Razin, Noam, Yotam Alexander +9 · 1 citation
    Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Economic Policies and Impacts #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Systems and Control (eess.SY) #electronic engineering #information engineering
  42. TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
    2024/06/05 by Caciularu, Avi, Jacovi, Alon, Ben-David, Eyal +5 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  43. Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers
    2025/03/03 by Yehudai, Gilad, Sanford, Clayton, Bechler-Speicher, Maya +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  44. On the Utilization of Unique Node Identifiers in Graph Neural Networks
    2024/11/04 by Maya Bechler-Speicher, Bechler-Speicher, Maya, Moshe Eliasof +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  45. Towards Invariance to Node Identifiers in Graph Neural Networks
    2025/02/19 by Maya Bechler-Speicher, Bechler-Speicher, Maya, Moshe Eliasof +7 · 1 citation
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications